Applied Scientist - Amazon - Seattle - Wizbii

Applied Scientist

  • Par Amazon
  • Seattle (United States of America)
  • Développement informatique

Description de l'offre


Curious on what it takes to build pricing solutions for items on Amazon's business retail catalog - the largest (and growing) business retail catalog on the planet? Are you interested in learning and contributing to the pricing technology and experiences for business customers? Are you looking to innovate at scale, have an impact, work on a ground floor opportunity and have fun while making history bootstrapping a fast growing business? If so, this is an opportunity that you don't want to miss.

Amazon Business is focused on building solutions to enable B2B customers to research, discover and buy business, industrial and scientific products in large catalogs, across multiple devices, marketplaces and regions. Our customers include individual professionals, businesses and institutions that buy in either high frequency or in bulk quantities. Our customers have different needs than the traditional Amazon retail customer base.

You will be part of the Amazon Business Pricing team that is responsible for building systems to enable our business customers get the most competitive prices. You will be working with new technologies that improve price accuracy, usability and increase performance and scalability - latest UX frameworks, parallel processing, rendering and machine learning are just a few examples.

In this role you will help earn customer trust on price competitiveness using available data. You will build various data and machine learning models that help us innovate different ways to enhance customer experience. You will also help explore relationship to pricing and customers buying actions and do all of this without asking the customer a single question.

Profil recherché


· PHD/MS. in Computer Science, Machine Learning, Operational Research, Statistics or a related quantitative field
· At least 5+ years of hands-on experience in predictive modeling and analysis
· Proficiency in model development, model validation and model implementation.
· At least 2+ years hands on experience programming in R, Java, C#, C++ or other similar programming languages
· Hands on experience with scripting languages such as Python, Perl
· Work well in a fast-moving team environment and effectively deliver technical implementations having complex dependencies and requirements.

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